Klasifikasi Penentuan Jenis Obat Menggunakan Algoritma Decision Tree

Rika Nursyahfitri; Alfanda Novebrian Maharadja; Riva Arsyad Farissa; Yuyun Umaidah

doi:10.33795/jip.v7i3.629

Rika Nursyahfitri Singaperbangsa University, Karawang
Alfanda Novebrian Maharadja Singaperbangsa University, Karawang
Riva Arsyad Farissa Singaperbangsa University, Karawang
Yuyun Umaidah Singaperbangsa University, Karawang

DOI: https://doi.org/10.33795/jip.v7i3.629

Keywords: classification, type of drug, decision tree, C4.5, confusion matrix

Abstract

Classification is a technique that can be used for prediction, where the predicted value is a label. The classification of drug determination aims to predict the type of drug that is accurate for patients with the dataset that has been obtained. The data used in this study are data from the patient's medical records based on the symptoms of the disease but the type of medicine is not yet known. The data set used comes from kaggle.com which is then presented in the form of a decision tree with a mathematical model. To complete this research, a classification method is used in data mining, namely the decision tree. The decision tree method is used to find the relationship between a number of candidate variables, so that it becomes a classification target variable by dividing the data into 70% data testing and 30% training data. The results obtained from this study are in the form of rules and an accuracy rate of 96.36% as well as the recall and precision values of each type of drug using a multiclass configuration matrix.

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